2026 - today: enterprise Agentic AI platform
Role: Lead Architect / Agentic AI Platform Lead
Customer: Major German industrial manufacturer (materials handling)

• Lead Architect and team lead for an enterprise Agentic AI platform focused on solving high-value ERP and commercial process challenges
• Lead the architecture and delivery direction across a portfolio of 15 use cases addressing areas such as tail spend, deal and tender assistants, and offer analysis
• Design the overall platform architecture for agent-based solutions, including agent orchestration patterns, MCP server design, and implementation approach
• Define how agents, enterprise data, and business workflows integrate into a scalable and production-ready platform
• Design Databricks-based ELT pipelines to support AI and analytics use cases with reliable, governed enterprise data flows
• Shape the integration of machine learning models into the platform, including execution patterns, deployment design, and operational readiness
• Translate business problems in ERP and commercial operations into concrete AI-enabled solution designs with clear implementation logic and business relevance
• Guide the team across architecture, technical decisions, and delivery priorities to ensure the platform is scalable, credible, and aligned with enterprise needs

2024 - today: Architected and helped deliver a Databricks-based enterprise data platform

Role: Data & AI Architect / Cloud & Data Architect
Customer: Major German telecom operator

• Architected and helped deliver a Databricks-based enterprise data platform covering migration of existing data engineering and machine learning workloads into a governed, production-ready environment
• Led a 7-person team across architecture and implementation activities in a complex enterprise setting
• Defined the target architecture and delivery roadmap, including SQL standards, data modeling conventions, DevOps, and MLOps practices
• Introduced CI/CD automation, model serving, and Unity Catalog-based governance to support scalable, secure, and operationally ready delivery
• Produced estimates and proposal materials that secured stakeholder buy-in, while coordinating technical workstreams and executive communication through implementation and handover

2007 - today: Lead enterprise architecture across software

Role: Technology Architect / Architecture Lead
Customer: Accenture

Tasks:

• Lead enterprise architecture across software, data, and AI solution landscapes
• Shape target architecture, delivery roadmaps, technical governance, and implementation oversight across enterprise accounts
• Translate complex technical architecture into stakeholder-ready proposals, estimates, and business cases
• Drive engineering standards and technology direction across broader organizational scope

2022?2023: Architected and helped drive delivery of a flagship Azure data platform

Role: Lead Data & AI Architect
Customer: Major German energy company (Data House)

• Architected and helped drive delivery of a flagship Azure data platform transformation that became a strategic foundation for enterprise-scale analytics modernization.
• Led a 15-person cross-functional team and designed a metadata-driven ingestion and ELT platform integrating 600+ business-critical sources across SAP, SQL Server, PostgreSQL, REST APIs, and other enterprise systems.
• Defined the governance and security architecture for regulated data usage, including fine-grained access control, pseudonymization, and data masking patterns.
• Created the architectural basis for broad data reuse, stronger compliance, and materially faster access to trusted business information across the organization

Led a 15-person architecture and application management function

Role: Lead Architect
Customer: Major Danish retail group

• Led a 15-person architecture and application management function for approximately six years across a complex landscape of 100+ applications.
• Drove a major transformation from on-premise systems and manual deployments to a fully Azure-based environment with highly automated release pipelines and mature DevOps practices.
• Defined cloud-native and microservices-based architecture across the portfolio to improve delivery speed, scalability, operational reliability, and long-term maintainability.
• Introduced innovation initiatives including computer vision and NLP-based log analytics to strengthen automation and operational intelligence

Selected Architecture Engagements

• Designed ELT and data architecture for Synapse Analytics and led an 8-person team for a Danish jewelry retailer, including quality improvements and Azure cost optimization initiatives
• Designed conversational AI architecture and chatbot solutions on Azure for automotive and industrial use cases, including speech recognition in noisy environments
• Built NLP-based incident-classification and routing solutions using custom neural-network approaches and large-scale text preprocessing.
• Designed an internal AI platform using Azure OpenAI and LangChain to transform CV content into marketing-oriented profiles using retrieval-augmented generation
• Acted as Data & AI Architect on an AI-driven ERP initiative and helped shape a EUR 500K+ GenAI and neural-network-focused RFP

Sales / Commercial Impact

• Turn complex technical architecture into persuasive, business-focused solution narratives that increase buying confidence and reduce perceived delivery risk
• Played a key role in shaping and supporting a EUR 2M+ telecom opportunity through strong architecture, estimation, and credible delivery planning
• Supported a EUR 500K+ AI-driven ERP / GenAI opportunity by aligning technical design with stakeholder priorities, business outcomes, and implementation realism
• Drove approximately EUR 2M in additional upsell growth across existing accounts over the years by expanding solution scope and strengthening client trust in execution
• Strong at helping clients and client stakeholders understand why a solution is worth buying by combining architectural depth, business language, and confidence in delivery